Sentinel-1 provides ice drift observations for Copernicus Marine Environment Monitoring Service (CMEMS)
Sea ice drift information with an accuracy that allows also ice deformation (divergence, shear, vorticity) to be derived is being operationally generated in the Copernicus Marine Environment Monitoring Service (CMEMS).The method is based on 2-dimensional digital cross correlation where subsections o...
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ftdtupubl:oai:pure.atira.dk:publications/52abe750-809f-42f1-90a9-261ec30b9953 2023-05-15T15:17:28+02:00 Sentinel-1 provides ice drift observations for Copernicus Marine Environment Monitoring Service (CMEMS) Toudal Pedersen, Leif Saldo, Roberto 2016 https://orbit.dtu.dk/en/publications/52abe750-809f-42f1-90a9-261ec30b9953 http://lps16.esa.int/page_session169.php#2411p eng eng info:eu-repo/semantics/openAccess Toudal Pedersen , L & Saldo , R 2016 , ' Sentinel-1 provides ice drift observations for Copernicus Marine Environment Monitoring Service (CMEMS) ' , ESA Living Planet Symposium 2016 , Prague , Czech Republic , 09/05/2016 - 13/05/2016 . < http://lps16.esa.int/page_session169.php#2411p > /dk/atira/pure/sustainabledevelopmentgoals/life_below_water SDG 14 - Life Below Water conferenceObject 2016 ftdtupubl 2022-08-14T08:27:10Z Sea ice drift information with an accuracy that allows also ice deformation (divergence, shear, vorticity) to be derived is being operationally generated in the Copernicus Marine Environment Monitoring Service (CMEMS).The method is based on 2-dimensional digital cross correlation where subsections of 2 consecutive images (typically 12-36h apart) are compared and the ice displacement defined as the shift in location of images 1 that maximizes the cross correlation with image 2. The method is also known as Maximum Cross Correlation or MCC.Implementation was carried out in the context of the PolarView project in 2007 when large volumes of ENVISAT ASAR images of the Polar regions became available during the International Polar Year. A dataset of daily ice drift vectors of the Polar Regions (North and South) is now available covering the time period from 2007 to the present time.In 2009 the processing became part of the GMES Marine Core Service MyOcean and when ENVISAT seized operation in 2012, this enabled a switch to daily RADARSAT-2 coverage of key regions in both hemispheres covered by the GMES Space Component Data Access (GSC-DA) grant.From October 2014, the data provision has switched to Sentinel-1 the source for SAR data, and the daily coverage of ice drift is now similar to what was reached with ENVISAT during the IPY. With the Launch of Sentinel-1B in 2016, daily coverage of most of the Arctic Ocean will become possible.Already today approximately 10.000 Sentinel-1A image pairs are matched every month in the processing system.The quality of the ice drift vectors are routinely verified against GPS locations of drift buoys and the RMS difference between the baseline product available through the Copernicus Marine Environment Monitoring Service data portal and GPS drifters is ~500 meters per day. A significant part of this RMS difference can be ascribed to the different nature of a point measurement and an area measurement.This accuracy is sufficient to support the generation of daily maps of ice divergence, ... Conference Object Arctic Arctic Ocean International Polar Year IPY Sea ice Technical University of Denmark: DTU Orbit Arctic Arctic Ocean Asar ENVELOPE(134.033,134.033,68.667,68.667) |
institution |
Open Polar |
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Technical University of Denmark: DTU Orbit |
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ftdtupubl |
language |
English |
topic |
/dk/atira/pure/sustainabledevelopmentgoals/life_below_water SDG 14 - Life Below Water |
spellingShingle |
/dk/atira/pure/sustainabledevelopmentgoals/life_below_water SDG 14 - Life Below Water Toudal Pedersen, Leif Saldo, Roberto Sentinel-1 provides ice drift observations for Copernicus Marine Environment Monitoring Service (CMEMS) |
topic_facet |
/dk/atira/pure/sustainabledevelopmentgoals/life_below_water SDG 14 - Life Below Water |
description |
Sea ice drift information with an accuracy that allows also ice deformation (divergence, shear, vorticity) to be derived is being operationally generated in the Copernicus Marine Environment Monitoring Service (CMEMS).The method is based on 2-dimensional digital cross correlation where subsections of 2 consecutive images (typically 12-36h apart) are compared and the ice displacement defined as the shift in location of images 1 that maximizes the cross correlation with image 2. The method is also known as Maximum Cross Correlation or MCC.Implementation was carried out in the context of the PolarView project in 2007 when large volumes of ENVISAT ASAR images of the Polar regions became available during the International Polar Year. A dataset of daily ice drift vectors of the Polar Regions (North and South) is now available covering the time period from 2007 to the present time.In 2009 the processing became part of the GMES Marine Core Service MyOcean and when ENVISAT seized operation in 2012, this enabled a switch to daily RADARSAT-2 coverage of key regions in both hemispheres covered by the GMES Space Component Data Access (GSC-DA) grant.From October 2014, the data provision has switched to Sentinel-1 the source for SAR data, and the daily coverage of ice drift is now similar to what was reached with ENVISAT during the IPY. With the Launch of Sentinel-1B in 2016, daily coverage of most of the Arctic Ocean will become possible.Already today approximately 10.000 Sentinel-1A image pairs are matched every month in the processing system.The quality of the ice drift vectors are routinely verified against GPS locations of drift buoys and the RMS difference between the baseline product available through the Copernicus Marine Environment Monitoring Service data portal and GPS drifters is ~500 meters per day. A significant part of this RMS difference can be ascribed to the different nature of a point measurement and an area measurement.This accuracy is sufficient to support the generation of daily maps of ice divergence, ... |
format |
Conference Object |
author |
Toudal Pedersen, Leif Saldo, Roberto |
author_facet |
Toudal Pedersen, Leif Saldo, Roberto |
author_sort |
Toudal Pedersen, Leif |
title |
Sentinel-1 provides ice drift observations for Copernicus Marine Environment Monitoring Service (CMEMS) |
title_short |
Sentinel-1 provides ice drift observations for Copernicus Marine Environment Monitoring Service (CMEMS) |
title_full |
Sentinel-1 provides ice drift observations for Copernicus Marine Environment Monitoring Service (CMEMS) |
title_fullStr |
Sentinel-1 provides ice drift observations for Copernicus Marine Environment Monitoring Service (CMEMS) |
title_full_unstemmed |
Sentinel-1 provides ice drift observations for Copernicus Marine Environment Monitoring Service (CMEMS) |
title_sort |
sentinel-1 provides ice drift observations for copernicus marine environment monitoring service (cmems) |
publishDate |
2016 |
url |
https://orbit.dtu.dk/en/publications/52abe750-809f-42f1-90a9-261ec30b9953 http://lps16.esa.int/page_session169.php#2411p |
long_lat |
ENVELOPE(134.033,134.033,68.667,68.667) |
geographic |
Arctic Arctic Ocean Asar |
geographic_facet |
Arctic Arctic Ocean Asar |
genre |
Arctic Arctic Ocean International Polar Year IPY Sea ice |
genre_facet |
Arctic Arctic Ocean International Polar Year IPY Sea ice |
op_source |
Toudal Pedersen , L & Saldo , R 2016 , ' Sentinel-1 provides ice drift observations for Copernicus Marine Environment Monitoring Service (CMEMS) ' , ESA Living Planet Symposium 2016 , Prague , Czech Republic , 09/05/2016 - 13/05/2016 . < http://lps16.esa.int/page_session169.php#2411p > |
op_rights |
info:eu-repo/semantics/openAccess |
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1766347702523658240 |